4.8 (24,680) reviews 110,000
59,451*
NO COST EMI : 9,909 p.m for 6 Months
*Offer valid till 14th September 2025
Instructor Led Live Online
Self Learning + Live Mentoring
In - Person Classroom Training
MODULE 1: DATA SCIENCE ESSENTIALS
• Introduction to Data Science
• Evolution of Data Science
• Big Data Vs Data Science
• Data Science Terminologies
• Data Science vs AI/Machine Learning
• Data Science vs Analytics
MODULE 2: DATA SCIENCE DEMO
• Business Requirement: Use Case
• Data Preparation
• Machine learning Model building
• Prediction with ML model
• Delivering Business Value.
MODULE 3: ANALYTICS CLASSIFICATION
• Types of Analytics
• Descriptive Analytics
• Diagnostic Analytics
• Predictive Analytics
• Prescriptive Analytics
• EDA and insight gathering demo in Tableau
MODULE 4: DATA SCIENCE AND RELATED FIELDS
• Introduction to AI
• Introduction to Computer Vision
• Introduction to Natural Language Processing
• Introduction to Reinforcement Learning
• Introduction to GAN
• Introduction to Generative Passive Models
MODULE 5: DATA SCIENCE ROLES & WORKFLOW
• Data Science Project workflow
• Roles: Data Engineer, Data Scientist, ML Engineer and MLOps Engineer
• Data Science Project stages.
MODULE 6: MACHINE LEARNING INTRODUCTION
• What Is ML? ML Vs AI
• ML Workflow, Popular ML Algorithms
• Clustering, Classification And Regression
• Supervised Vs Unsupervised
MODULE 7: DATA SCIENCE INDUSTRY APPLICATIONS
• Data Science in Finance and Banking
• Data Science in Retail
• Data Science in Health Care
• Data Science in Logistics and Supply Chain
• Data Science in Technology Industry
• Data Science in Manufacturing
• Data Science in Agriculture
MODULE 1: PYTHON BASICS
• Introduction of python
• Installation of Python and IDE
• Python Variables
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators
MODULE 2: PYTHON CONTROL STATEMENTS
• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements
MODULE 3: PYTHON DATA STRUCTURES
• Basic data structure in python
• Basics of List
• List: Object, methods
• Tuple: Object, methods
• Sets: Object, methods
• Dictionary: Object, methods
MODULE 4: PYTHON FUNCTIONS
• Functions basics
• Function Parameter passing
• Lambda functions
• Map, reduce, filter functions
MODULE 1: OVERVIEW OF STATISTICS
• Introduction to Statistics
• Descriptive And Inferential Statistics
• Basic Terms Of Statistics
• Types Of Data
MODULE 2: HARNESSING DATA
• Random Sampling
• Sampling With Replacement And Without Replacement
• Cochran's Minimum Sample Size
• Types of Sampling
• Simple Random Sampling
• Stratified Random Sampling
• Cluster Random Sampling
• Systematic Random Sampling
• Multi stage Sampling
• Sampling Error
• Methods Of Collecting Data
MODULE 3: EXPLORATORY DATA ANALYSIS
• Exploratory Data Analysis Introduction
• Measures Of Central Tendencies: Mean,Median And Mode
• Measures Of Central Tendencies: Range, Variance And Standard Deviation
• Data Distribution Plot: Histogram
• Normal Distribution & Properties
• Z Value / Standard Value
• Empirical Rule and Outliers
• Central Limit Theorem
• Normality Testing
• Skewness & Kurtosis
• Measures Of Distance: Euclidean, Manhattan And Minkowski Distance
• Covariance & Correlation
MODULE 4: HYPOTHESIS TESTING
• Hypothesis Testing Introduction
• P- Value, Critical Region
• Types of Hypothesis Testing
• Hypothesis Testing Errors : Type I And Type II
• Two Sample Independent T-test
• Two Sample Relation T-test
• One Way Anova Test
• Application of Hypothesis testing
MODULE 1: MACHINE LEARNING INTRODUCTION
• What Is ML? ML Vs AI
• Clustering, Classification And Regression
• Supervised Vs Unsupervised
MODULE 2: PYTHON NUMPY PACKAGE
• Introduction to Numpy Package
• Array as Data Structure
• Core Numpy functions
• Matrix Operations, Broadcasting in Arrays
MODULE 3: PYTHON PANDAS PACKAGE
• Introduction to Pandas package
• Series in Pandas
• Data Frame in Pandas
• File Reading in Pandas
• Data munging with Pandas
MODULE 4: VISUALIZATION WITH PYTHON - Matplotlib
• Visualization Packages (Matplotlib)
• Components Of A Plot, Sub-Plots
• Basic Plots: Line, Bar, Pie, Scatter
MODULE 5: PYTHON VISUALIZATION PACKAGE - SEABORN
• Seaborn: Basic Plot
• Advanced Python Data Visualizations
MODULE 6: ML ALGO: LINEAR REGRESSSION
• Introduction to Linear Regression
• How it works: Regression and Best Fit Line
• Modeling and Evaluation in Python
MODULE 7: ML ALGO: LOGISTIC REGRESSION
• Introduction to Logistic Regression
• How it works: Classification & Sigmoid Curve
• Modeling and Evaluation in Python
MODULE 8: ML ALGO: K MEANS CLUSTERING
• Understanding Clustering (Unsupervised)
• K Means Algorithm
• How it works : K Means theory
• Modeling in Python
MODULE 9: ML ALGO: KNN
• Introduction to KNN
• How It Works: Nearest Neighbor Concept
• Modeling and Evaluation in Python
MODULE 1: FEATURE ENGINEERING
• Introduction to Feature Engineering
• Feature Engineering Techniques: Encoding, Scaling, Data Transformation
• Handling Missing values, handling outliers
• Creation of Pipeline
• Use case for feature engineering
MODULE 2: ML ALGO: SUPPORT VECTOR MACHINE (SVM)
• Introduction to SVM
• How It Works: SVM Concept, Kernel Trick
• Modeling and Evaluation of SVM in Python
MODULE 3: PRINCIPAL COMPONENT ANALYSIS (PCA)
• Building Blocks Of PCA
• How it works: Finding Principal Components
• Modeling PCA in Python
MODULE 4: ML ALGO: DECISION TREE
• Introduction to Decision Tree & Random Forest
• How it works
• Modeling and Evaluation in Python
MODULE 5: ENSEMBLE TECHNIQUES - BAGGING
• Introduction to Ensemble technique
• Bagging and How it works
• Modeling and Evaluation in Python
MODULE 6: ML ALGO: NAÏVE BAYES
• Introduction to Naive Bayes
• How it works: Bayes' Theorem
• Naive Bayes For Text Classification
• Modeling and Evaluation in Python
MODULE 7: GRADIENT BOOSTING, XGBOOST
• Introduction to Boosting and XGBoost
• How it works?
• Modeling and Evaluation of in Python
MODULE 1: TIME SERIES FORECASTING - ARIMA
• What is Time Series?
• Trend, Seasonality, cyclical and random
• Stationarity of Time Series
• Autoregressive Model (AR)
• Moving Average Model (MA)
• ARIMA Model
• Autocorrelation and AIC
• Time Series Analysis in Python
MODULE 2: SENTIMENT ANALYSIS
• Introduction to Sentiment Analysis
• NLTK Package
• Case study: Sentiment Analysis on Movie Reviews
MODULE 3: REGULAR EXPRESSIONS WITH PYTHON
• Regex Introduction
• Regex codes
• Text extraction with Python Regex
MODULE 4: ML MODEL DEPLOYMENT WITH FLASK
• Introduction to Flask
• URL and App routing
• Flask application – ML Model deployment
MODULE 5: ADVANCED DATA ANALYSIS WITH MS EXCEL
• MS Excel core Functions
• Advanced Functions (VLOOKUP, INDIRECT..)
• Linear Regression with EXCEL
• Data Table
• Goal Seek Analysis
• Pivot Table
• Solving Data Equation with EXCEL
MODULE 6: AWS CLOUD FOR DATA SCIENCE
• Introduction of cloud
• Difference between GCC, Azure, AWS
• AWS Service ( EC2 instance)
MODULE 7: AZURE FOR DATA SCIENCE
• Introduction to AZURE ML studio
• Data Pipeline
• ML modeling with Azure
MODULE 8: INTRODUCTION TO DEEP LEARNING
• Introduction to Artificial Neural Network, Architecture
• Artificial Neural Network in Python
• Introduction to Convolutional Neural Network, Architecture
• Convolutional Neural Network in Python
MODULE 1: DATABASE INTRODUCTION
• DATABASE Overview
• Key concepts of database management
• Relational Database Management System
• CRUD operations
MODULE 2: SQL BASICS
• Introduction to Databases
• Introduction to SQL
• SQL Commands
• MY SQL workbench installation
MODULE 3: DATA TYPES AND CONSTRAINTS
• Numeric, Character, date time data type
• Primary key, Foreign key, Not null
• Unique, Check, default, Auto increment
MODULE 4: DATABASES AND TABLES (MySQL)
• Create database
• Delete database
• Show and use databases
• Create table, Rename table
• Delete table, Delete table records
• Create new table from existing data types
• Insert into, Update records
• Alter table
MODULE 5: SQL JOINS
• Inner Join, Outer Join
• Left Join, Right Join
• Self Join, Cross join
• Windows function: Over, Partition, Rank
MODULE 6: SQL COMMANDS AND CLAUSES
• Select, Select distinct
• Aliases, Where clause
• Relational operators, Logical
• Between, Order by, In
• Like, Limit, null/not null, group by
• Having, Sub queries
MODULE 7 : DOCUMENT DB/NO-SQL DB
• Introduction of Document DB
• Document DB vs SQL DB
• Popular Document DBs
• MongoDB basics
• Data format and Key methods
MODULE 1: GIT INTRODUCTION
• Purpose of Version Control
• Popular Version control tools
• Git Distribution Version Control
• Terminologies
• Git Workflow
• Git Architecture
MODULE 2: GIT REPOSITORY and GitHub
• Git Repo Introduction
• Create New Repo with Init command
• Git Essentials: Copy & User Setup
• Mastering Git and GitHub
MODULE 3: COMMITS, PULL, FETCH AND PUSH
• Code Commits
• Pull, Fetch and Conflicts resolution
• Pushing to Remote Repo
MODULE 4: TAGGING, BRANCHING AND MERGING
• Organize code with branches
• Checkout branch
• Merge branches
• Editing Commits
• Commit command Amend flag
• Git reset and revert
MODULE 5: GIT WITH GITHUB AND BITBUCKET
• Creating GitHub Account
• Local and Remote Repo
• Collaborating with other developers
MODULE 1: BIG DATA INTRODUCTION
• Big Data Overview
• Five Vs of Big Data
• What is Big Data and Hadoop
• Introduction to Hadoop
• Components of Hadoop Ecosystem
• Big Data Analytics Introduction
MODULE 2 : HDFS AND MAP REDUCE
• HDFS – Big Data Storage
• Distributed Processing with Map Reduce
• Mapping and reducing stages concepts
• Key Terms: Output Format, Partitioners,
• Combiners, Shuffle, and Sort
MODULE 3: PYSPARK FOUNDATION
• PySpark Introduction
• Spark Configuration
• Resilient distributed datasets (RDD)
• Working with RDDs in PySpark
• Aggregating Data with Pair RDDs
MODULE 4: SPARK SQL and HADOOP HIVE
• Introducing Spark SQL
• Spark SQL vs Hadoop Hive
MODULE 1: TABLEAU FUNDAMENTALS
• Introduction to Business Intelligence & Introduction to Tableau
• Interface Tour, Data visualization: Pie chart, Column chart, Bar chart.
• Bar chart, Tree Map, Line Chart
• Area chart, Combination Charts, Map
• Dashboards creation, Quick Filters
• Create Table Calculations
• Create Calculated Fields
• Create Custom Hierarchies
MODULE 2: POWER-BI BASICS
• Power BI Introduction
• Basics Visualizations
• Dashboard Creation
• Basic Data Cleaning
• Basic DAX FUNCTION
MODULE 3 : DATA TRANSFORMATION TECHNIQUES
• Exploring Query Editor
• Data Cleansing and Manipulation:
• Creating Our Initial Project File
• Connecting to Our Data Source
• Editing Rows
• Changing Data Types
• Replacing Values
MODULE 4: CONNECTING TO VARIOUS DATA SOURCES
• Connecting to a CSV File
• Connecting to a Webpage
• Extracting Characters
• Splitting and Merging Columns
• Creating Conditional Columns
• Creating Columns from Examples
• Create Data Model
Enrolling at DataMites was one of the best decisions I made for my career. Coming from a freelance writing background with no prior technical experience, I was initially unsure about stepping into the field of data analytics. But DataMites made the transition smooth and achievable. I’d highly recommend them to anyone looking for a guided, industry-ready data analytics course. A true DataMites success story!
Anyone with a fundamental knowledge of mathematics and statistics can join the data science course in Jaipur. This program is suitable for fresh graduates as well as working professionals. Although having prior programming experience can be advantageous, it is not a requirement.
Several institutes offer Data Science courses in Jaipur, but DataMites is a preferred choice. It provides comprehensive training, internationally recognized certifications, and hands-on projects to strengthen practical expertise. With skilled instructors and dedicated career support, DataMites builds a solid foundation in Data Science, preparing learners for successful career advancement.
Analytical skills
Basic knowledge of Mathematics and Statistics
Knowledge of coding
Skills of working with programming languages like ‘R’ and Python.
The Certified Data Scientist course in Jaipur offers extensive training in machine learning, AI, statistics, and big data, coupled with hands-on projects and practical experience. This approach ensures learners acquire the essential skills required for robust career growth in data-driven industries.
Yes. The demand for data science professionals in Jaipur continues to rise as organizations increasingly depend on data-driven insights. With AI, machine learning, and analytics influencing business decisions, job opportunities in the city are expected to grow steadily in the coming years.
Data Science is all about managing a set of information received from various sources, to arrive at conclusions. The data that is acquired needs to be analysed and decisions need to be taken. Statistics makes it easier to work on data. Various statistical techniques such as Classification, Regression, Hypothesis Testing, Time Series Analysis is used to construct data models. With the help of Statistics, a Data Scientist can gain better insights, which enables to effectively streamline the decision-making process.
The different roles, Data Science is subjected to, in an organisation.
Analysing and managing projects.
Employing various data models.
Making use of sampling techniques
Prediction and Analysis
Segmentation through clustering technique
Making use of Linear and Logistics regression methods
The duration of the Data Science course in Jaipur is 8 months, a total of 120 hours of training. The training sessions are provided on weekdays and weekends. You can opt between the two, as per your convenience.
The Data Science course fee in Jaipur generally ranges from Rs 15,000 to Rs 2,50,000, depending on the institute, course duration, and mode of training. Learners can opt for online, classroom, or self-paced formats according to their preferences.
Data Science is a vast subject for study, it is a mix of Statistics and Computer Science. DataMites in Jaipur, offers quality training sessions in Data Science, Artificial Intelligence, Machine Learning etc. The data science courses provided by DataMites in Jaipur are exclusively designed in tune with the current industry requirements. Also with many projects to work on, under the mentoring of industry experts.
Yes, programming is an essential aspect of the role. Python and SQL are the most widely used languages, and having a basic understanding is sufficient to begin. As one gains experience, advanced coding skills can enable handling more complex challenges.
After completing the Certified Data Scientist Course in Jaipur, an individual will be well equipped with the following:-
Intense knowledge of the workflow, of a Data Science project.
Learn the basics of the use of Statistics in Data Science.
Gain knowledge of the various Machine Learning Algorithms.
Knowledge of Data Forecasting, Data Mining and Data Visualization.
Ways to deliver end to end Data Science projects.
Jaipur is known for with lots of business opportunities and large corporate houses adorning the city. This, in turn, contributes to new employment opportunities being created. Hence opting for a Data Science course in Jaipur will help an individual to leverage the available possibilities in the best manner, to land a career in Data Science.
Data Scientists have been in great demand in Jaipur. As an acknowledgement to this rising demand, DataMites has come with the Certified Data Scientist course in Jaipur. The course covers all the areas of Data Science, Machine Learning, basics of Mathematics and Statistics, etc. Also, the Certified Data Scientist course, covers all the practical aspects of the knowledge required to become a Data Scientist.
Jaipur, in India, has lots of business opportunities. It consists of many large companies, business houses, with large amounts of transactions happening every day, as a result of which there is an equally large amount of data generated daily. Also, India is known for many recognised universities. Learning Data Science in India will be a great opportunity for students as well as professionals. Graduates freshers and employees working in organisations can leverage these opportunities to easily land a Data Science job.
Jaipur has several large companies, Banking and Financial institutions, Insurance companies, Automobile companies, Manufacturing enterprises, as a result, Jaipur happens to be the most sought after city when it comes to career opportunities in Data Science.
Jaipur is a city that is always bustling with business activities, financial transactions happening in huge volumes. Hence it serves to be a great opportunity for starting a Data Science Career in Jaipur.
As per AmbitionBox reports, Data Scientist salaries in Jaipur range from ₹4 lakhs to ₹27 lakhs, with the average being around ₹15 lakhs.
A data scientist course trains learners to build models, develop predictive algorithms, and extract insights from complex datasets. While data analysts focus on interpreting data to identify trends, data scientists create solutions that drive business strategy. In essence, analysts provide insights, and data scientists turn them into actionable innovations.
Yes, non-IT graduates can pursue a career in data science. With a strong foundation in mathematics, statistics, and analytical thinking, along with training through a data science course, they can acquire the necessary programming and machine learning skills. Many successful data scientists come from diverse academic backgrounds beyond IT.
Jaipur features key areas like Mansarovar (302020) and Malviya Nagar (302017), both bustling residential and commercial hubs, and C-Scheme (302001), which hosts several educational institutes and training centers. Neighborhoods such as Vaishali Nagar (302021), Jagatpura (302017), and Raja Park (302005) offer a mix of residential and commercial spaces, making access to data science training convenient. The branch is also easily reachable from nearby localities including Bani Park (302016), Shyam Nagar (302015), Gopalpura (302018), Tonk Road (302015), and Nirman Nagar (302019). Major areas in Jaipur are well connected, providing easy access for students and professionals pursuing data science courses with hands-on training and practical applications.
Professionals rely on Python, R, SQL, and Excel for data handling. Visualization tools like Tableau and Power BI, along with cloud platforms and libraries such as scikit-learn, are widely used to analyze and present data effectively.
Data Science in the finance sector is used for fraud detection, risk assessment, and algorithmic trading to optimize returns. It also enables customer analytics and personalized services. Overall, it helps financial institutions make data-driven decisions and manage portfolios effectively.
DataMites Jaipur is open to fresh graduates, working professionals, and those switching careers. A basic grasp of math and programming is usually enough to get started, though prerequisites can differ depending on the course level.
DataMites offers Data Science courses in Jaipur with a comprehensive curriculum, experienced instructors, and dedicated placement assistance. The programs focus on industry-relevant tools and practical skills, equipping students for successful careers in data science. Enrolling at DataMites provides a structured learning journey along with professional guidance and mentorship.
Yes, DataMites Institute provides a data science course in Jaipur with placement support that includes interview preparation, professional mentorship, and connections to hiring companies. The program is designed to help students secure rewarding roles in the data science industry.
The DataMites Data Science course fee in Jaipur varies based on the chosen learning mode. The live virtual program is priced at INR 60,000, the blended learning option costs INR 35,000, and classroom training is available for INR 65,000. For the latest and most accurate fee details, it is advisable to contact the Jaipur center directly.
DataMites Jaipur offers a full refund if cancellation is requested within one week of the course start, provided that at least two sessions have been attended. Refunds are generally processed within 5–7 business days and are not available after six months from the enrollment date.
Yes, DataMites Jaipur offers a data science course with internships. Learners gain hands-on experience through real-world projects, which strengthens their skills and boosts career prospects.
Yes, DataMites in Jaipur offers EMI options for DataMites Data Science courses, so you can pay the fee in monthly installments. This makes it easier to manage the cost while continuing your studies. For exact details on the EMI plans, it’s best to reach out to us directly.
Enrolling for online training online is very simple. The payment can be done using your debit/credit card that includes Visa Card, MasterCard; American Express or via PayPal. You will receive the receipt after the payment is successful. In case of more queries, you can get in touch with our educational counselor who will guide you with the same.
You have access to the online study materials from 6 months up to 1 year.
The DataMites data science course in Jaipur spans 8 months, totaling approximately 700 learning hours. It is designed to balance theoretical knowledge with practical hands-on training, covering all key aspects of data science.
Yes, DataMites Jaipur offers a free demo class for its data science courses. This gives prospective students an opportunity to understand the course structure and teaching methodology before enrolling, helping them make an informed decision about their learning journey.
The trainers at DataMites Jaipur are experienced industry professionals with deep expertise in data science. They provide comprehensive instruction and personalized mentorship to support each student’s learning journey.
The DataMites Data Science syllabus includes statistics, Python or R, machine learning, data visualization, and data mining. Some programs also introduce big data technologies, with specific topics varying based on the course.
Yes. At DataMites, students work on live projects, gaining exposure to real-world problems and solutions. This hands-on experience helps bridge the gap between classroom learning and industry requirements, preparing them for careers in data science.
DataMites Jaipur offers both live and recorded online classes for its data science courses. Live sessions allow real-time interaction with instructors, while recorded sessions give students the flexibility to revisit the content anytime. This combination ensures a flexible and thorough learning experience.
The Certified Data Scientist program at DataMites covers data science fundamentals, Python programming, statistics, machine learning, deep learning, big data technologies, and real-world project execution, providing practical, industry-ready skills.
DataMites is a training provider that imparts quality training and upskilling in Data Science, for freshers who are data enthusiasts and professionals who wish to enhance their career possibilities. Above all DataMites offers the following;-
Industry aligned courses
Online sessions that ensure good engagement.
Expert Trainers, who possess a vast knowledge of the subject matter.
Case studies approach, which delved deep into the practical application of the concepts.
Opportunity to get connected with a network of Data Science professionals.
Career Guidance
Opportunity to work on projects
DataMites provides Flexi Pass, which gives you the privilege to attend unlimited batches in a year. The Flexi Pass is specific to one particular course. Therefore if you have a Flexi pass for one particular course of your choice, you will be able to attend any number of sessions of that course. It is to be noted that a Flexi pass is valid for a particular period.
Yes, DataMites Jaipur provides certification upon successful completion of the Data Science program. The certification is issued by reputable organizations like IABAC® and NASSCOM® FutureSkills, validating your skills and enhancing career opportunities in the data science field.
All the online sessions are recorded and will be shared with the candidates. If you miss any of the online sessions, you can still have access to the recordings later.
DataMites Jaipur is easily accessible from key areas such as C-Scheme (302001) and Malviya Nagar (302017), prominent commercial and educational hubs, and Mansarovar (302020), a well-established residential area. Neighborhoods like Vaishali Nagar (302021), Jagatpura (302017), and Raja Park (302005) offer convenient access to training centers. The branch is also well connected to nearby localities including Bani Park (302016), Shyam Nagar (302015), Gopalpura (302018), Tonk Road (302015), and Nirman Nagar (302019), making it easy for students and professionals to enroll in DataMites courses.
DataMites offers multiple payment options, including debit/credit cards (Visa, MasterCard, American Express) and PayPal. After payment, students receive course materials and enrollment confirmation, with an educational counselor available to guide them through the process.
The DataMites Placement Assistance Team(PAT) helps the candidates to have an easy start in his/her career. The team will assist you in the following areas;-
Project Mentoring- 100 hrs Live mentoring in industry projects.
Interview Preparations- Mock Interview sessions.
Resume Support- Personal guidance in resume creation by professionals.
Doubt clearing sessions- Live doubt clearing sessions on
Job updates- Interview connects.
No, DataMites doesn’t guarantee a job, but it will provide all the support and guidance needed, in getting a job, Resume Building, Interview preparations. DataMites internships offer a candidate to work with industry experts, which helps in knowing the corporate way of working. This proves as a stepping stone to an individual’s professional life.
DataMites Jaipur offers both online and offline data science courses, allowing students to choose the learning mode that best fits their schedule and preferences. The curriculum and quality of instruction remain consistent across both formats. The Jaipur center is located at Urban Excubator, 147, Tonk Road, Mahaveer Nagar, 1st Durgapura Railway Station, Ram Mandir Marg, Tonk Rd, Jaipur, Rajasthan 302018.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.
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